Visibility in generative AI search refers to how prominently and accurately a business's information, products, or services are identified, summarised, and presented by large language models (LLMs) like ChatGPT in response to user queries.
Generative AI models are trained on vast datasets encompassing internet content, books, and other digital information. When a user poses a question, the AI processes this query using its learned knowledge base to generate a response. Unlike traditional search engines that provide a list of links, generative AI aims to provide a direct, conversational answer synthesised from its training data. For a B2B entity to appear, its digital footprint – website content, public articles, industry reports, social media, and other verifiable online sources – must be part of the AI’s training corpus and deemed authoritative and relevant to the user’s intent. We develop strategies to ensure this source material is not only discoverable but also optimally structured and contextualised for AI ingestion.
As generative AI becomes an increasingly primary interface for information discovery, B2B companies that lack visibility risk significant market disadvantage. In 2026, prospective clients will routinely utilise these AI tools to research solutions, identify vendors, and validate options before ever visiting a company website or speaking with a sales representative. If an AI cannot accurately and favourably represent a B2B firm in its generative responses, that firm effectively becomes invisible at critical stages of the buyer’s journey. Our work in Generative Engine Optimisation (GEO) is specifically designed to position B2B clients at the forefront of this new discovery landscape, ensuring their expertise and offerings are recommended by these influential AI platforms.